Machine Learning Engineer (London)

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Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Companys three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.

Were looking for Machine Learning Engineers to join the Generative ML Platform team at Snap Inc!

What youll do:

Develop ML-tools and ML-products that serve millions of Snapchatters on a daily basis
Build cutting-edge augmented reality experiences with diffusion/flow matching models and GANs
Deliver GenAI experiences for the edge devices
Work on state of the art GenAI pipelines for image and video generation
Work closely with other Snap teams to introduce, prototype and launch new products

Knowledge, Skills & Abilities:

A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly
Knowledge of mathematics and deep learning foundations
Ability to effectively collaborate with internal teams and external partners
Ability to work independently

Minimum Qualifications:

Bachelors Degree in a technical field such as computer science, mathematics, statistics or equivalent years of experience
Engineering experience in one or more of the following: neural rendering, generative models, segmentation, object detection, classification, tracking, or other related applications of deep learning
Experience with the major deep learning frameworks: PyTorch or TensorFlow
Strong programming skills in Python or C++

Preferred Qualifications:

Experience developing real-time software for mobile applications
Knowledge of computer graphics foundations
Track record of successful projects in GenAI field
Examples of your work such as open source projects, blog posts, Kaggle contests, top conference or journal publications, etc.

If you have a disability or special need that requires accommodation, please dont be shy and provide us some information.

Default Together Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a default together approach and expect our team members to work in an office 4+ days per week.

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

Our Benefits: Snap Inc. is its own community, so weve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snaps long-term success!

Seniority level

Seniority level
Entry level

Employment type

Employment type
Full-time

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Job function
Engineering and Information Technology
Industries
Software Development

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Location:: London
Job Type:: FullTime

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Machine Learning Engineer (London)

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Research Engineer, ML, AI & Computer Vision

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